Comprehensive approach integrating remote sensing, machine learning, and physicochemical parameters to detect hydrodynamic conditions and groundwater quality deterioration in non-rechargeable aquifer systems-Reference-Cited by-同舟云学术

Comprehensive approach integrating remote sensing, machine learning, and physicochemical parameters to detect hydrodynamic conditions and groundwater quality deterioration in non-rechargeable aquifer systems

Published:2024-06 Issue:12 Volume:10 Page:e32992
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Eid Mohamed Hamdy^ORCID,Shebl Ali,Eissa Mustafa,Mohamed Essam A.,Fahil Amr S.,Ramadan Hatem Saad,Abukhadra Mostafa R.,El-Sherbeeny Ahmed M.,Kovacs Attila,Szűcs Péter

Funder

Hungarian Academy of Sciences

King Saud University

Publisher

Elsevier BV

Reference75 articles.

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